HYD.OS · Energy Management System

HYD.OS. The energy management that thinks in hydrogen.

Battery, PV, electrolyser, HIVE storage and fuel cell — one system, one schedule, one interface. HYD.OS measures, forecasts and controls every energy flow on site. Hydrogen is not a special installation here; it is the extension of your battery.

HYD.OS · Energy Management System
Live demo

One day with HYD.OS.

From midnight to midnight, price, sun and load keep changing — HYD.OS decides every 15 minutes where the energy goes.

Energy monitorReal time · power flowHold
6.0kW flow
0.0 kWPV systemStandby
0.0 kWBattery35.0 % · Idle
6.0 kWGridImport
6.0 kWConsumers
0.0 kWElectrolyserStandby
0.0 kWHIVE storage40.0 % · Idle
0.0 kWFuel cellStandby
HIVE storageSolid-state · RSH2Idle
40 %Fill level
Self-sufficiency0 %
Self-consumption
Storage35.0 %
Idle
Grid6.0 kWImport

Schedule

Time00:00Operating modeHold
010203040050100ct/kWh%00:0003:0006:0009:0012:0015:0018:0021:00
Purchase priceFeed-in priceState of chargeH₂ fill level

Example scenario, not a measurement — every value is physically consistent.

Schedule

The schedule builds itself.

The system automatically creates a schedule for the battery storage. It takes into account electricity prices, expected PV generation, consumption, state of charge and configured power limits. The schedule is updated regularly.

Electricity prices

Dynamic purchase and feed-in prices, every 15 minutes.

Expected PV generation

Forecast from weather data for the site.

Consumption

Load profile from measured days.

State of charge

Battery and HIVE fill level in real time.

Power limits

Grid connection, inverter, electrolyser.

Operating modes

Seven operating modes. One decision every quarter hour.

For each time window HYD.OS picks the mode that cuts cost and secures supply — the demo above shows which one is active right now.

Self-consumption

PV surplus is stored. When needed, the battery supplies the building.

Delay discharge

Energy is kept for later, for example for expensive hours.

Charge from grid

At low prices the battery can be charged from the grid.

Discharge to grid

At attractive feed-in prices energy from the battery can be sold.

Peak shaving

The battery reduces high power peaks in grid consumption.

Hold

The state of charge is kept as constant as possible.

Off

No price-dependent control by this schedule.

The difference

Hydrogen as the extension of the battery.

A battery shifts energy by hours. Hydrogen shifts it by days and weeks. HYD.OS treats both as one storage with two time horizons: surplus the battery can no longer absorb goes to the electrolyser and fills the HIVE. When energy is short, the battery discharges first, then the fuel cell supplies.

Battery

HoursTime horizon

Fast and efficient — balancing day and night.

HIVE storage

WeeksTime horizon

Solid-state storage with RSH2, 0.9 to 500 kg H₂, only 35 bar working pressure.

Fuel cell

24/7Re-electrification

Supplies power when sun and battery are not enough — including off-grid.

Connectable

Open to your plant. Proven in industry.

HYD.OS builds on an industry-proven core and speaks Modbus, M-Bus, MQTT and OCPP. The edge device keeps controlling on site even when the cloud is unreachable; the portal monitors, configures and updates remotely.

19Meter manufacturers natively supported
20+Inverter and storage manufacturers
13Electricity price and tariff integrations
58Controllers, from self-consumption to peak shaving
  • Forecasts from weather data and measured load profiles
  • Day-ahead electricity prices, e.g. ENTSO-E, aWATTar, Tibber
  • Live view and history: self-sufficiency, self-consumption, generation, consumption, storage
  • Remote maintenance, remote update and alerting per site
What we are building now

From schedule to digital twin.

In development

Digital twin of the site

A virtual replica of generation, load and storage on which HYD.OS rehearses decisions in advance.

In development

Multi-site optimisation

Plan and control several sites as one pool.

In use

Self-learning forecasts

Load-profile clustering and neural networks keep refining the prediction.

See HYD.OS at your site.

We show you the schedule for your load and generation curve — with battery, with hydrogen, or both.